{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Informer原始代码.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/sunyingjian/AI-in-well-logging/blob/master/Informer%E5%8E%9F%E5%A7%8B%E4%BB%A3%E7%A0%81.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5IM6CZzW_CH0"
      },
      "source": [
        "# Informer Demo"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kdaIHYx4_ECL"
      },
      "source": [
        "## Download code and dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SA_i2gbl-rn-",
        "outputId": "2cd671d7-12c0-45c1-928d-406a8f936c34"
      },
      "source": [
        "!git clone https://github.com/zhouhaoyi/Informer2020.git\r\n",
        "!git clone https://github.com/zhouhaoyi/ETDataset.git\r\n",
        "!ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'Informer2020'...\n",
            "remote: Enumerating objects: 18, done.\u001b[K\n",
            "remote: Counting objects: 100% (18/18), done.\u001b[K\n",
            "remote: Compressing objects: 100% (16/16), done.\u001b[K\n",
            "remote: Total 274 (delta 6), reused 5 (delta 2), pack-reused 256\u001b[K\n",
            "Receiving objects: 100% (274/274), 5.75 MiB | 21.48 MiB/s, done.\n",
            "Resolving deltas: 100% (146/146), done.\n",
            "Cloning into 'ETDataset'...\n",
            "remote: Enumerating objects: 166, done.\u001b[K\n",
            "remote: Counting objects: 100% (166/166), done.\u001b[K\n",
            "remote: Compressing objects: 100% (163/163), done.\u001b[K\n",
            "remote: Total 166 (delta 53), reused 15 (delta 2), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (166/166), 3.85 MiB | 18.42 MiB/s, done.\n",
            "Resolving deltas: 100% (53/53), done.\n",
            "ETDataset  Informer2020  sample_data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b5GFng7v7Eq0"
      },
      "source": [
        "import sys\r\n",
        "if not 'Informer2020' in sys.path:\r\n",
        "    sys.path += ['Informer2020']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YW9TS6jp_YXc"
      },
      "source": [
        "# !pip install -r ./Informer2020/requirements.txt"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rIjZdN5e_SWe"
      },
      "source": [
        "## Experiments: Train and Test"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RPdt-Kwc_RRZ"
      },
      "source": [
        "from utils.tools import dotdict\r\n",
        "from exp.exp_informer import Exp_Informer\r\n",
        "import torch"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6mx2dnwY9dWi"
      },
      "source": [
        "args = dotdict()\r\n",
        "\r\n",
        "args.model = 'informer' # model of experiment, options: [informer, informerstack, informerlight(TBD)]\r\n",
        "\r\n",
        "args.data = 'ETTh1' # data\r\n",
        "args.root_path = './ETDataset/ETT-small/' # root path of data file\r\n",
        "args.data_path = 'ETTh1.csv' # data file\r\n",
        "args.features = 'M' # forecasting task, options:[M, S, MS(TBD)]; M:multivariate predict multivariate, S:univariate predict univariate, MS:multivariate predict univariate\r\n",
        "args.target = 'OT' # target feature in S or MS task\r\n",
        "args.freq = 'h' # freq for time features encoding\r\n",
        "\r\n",
        "args.seq_len = 96 # input sequence length of Informer encoder\r\n",
        "args.label_len = 48 # start token length of Informer decoder\r\n",
        "args.pred_len = 24 # prediction sequence length\r\n",
        "# Informer decoder input: concat[start token series(label_len), zero padding series(pred_len)]\r\n",
        "\r\n",
        "args.enc_in = 7 # encoder input size\r\n",
        "args.dec_in = 7 # decoder input size\r\n",
        "args.c_out = 7 # output size\r\n",
        "args.factor = 5 # probsparse attn factor\r\n",
        "args.d_model = 512 # dimension of model\r\n",
        "args.n_heads = 8 # num of heads\r\n",
        "args.e_layers = 3 # num of encoder layers\r\n",
        "args.d_layers = 2 # num of decoder layers\r\n",
        "args.d_ff = 512 # dimension of fcn in model\r\n",
        "args.dropout = 0.05 # dropout\r\n",
        "args.attn = 'prob' # attention used in encoder, options:[prob, full]\r\n",
        "args.embed = 'timeF' # time features encoding, options:[timeF, fixed, learned]\r\n",
        "args.activation = 'gelu' # activation\r\n",
        "args.distil = True # whether to use distilling in encoder\r\n",
        "args.output_attention = False # whether to output attention in ecoder\r\n",
        "\r\n",
        "args.batch_size = 32 \r\n",
        "args.learning_rate = 0.0001\r\n",
        "args.loss = 'mse'\r\n",
        "args.lradj = 'type1'\r\n",
        "\r\n",
        "args.num_workers = 0\r\n",
        "args.itr = 1\r\n",
        "args.train_epochs = 6\r\n",
        "args.patience = 3\r\n",
        "args.des = 'exp'\r\n",
        "\r\n",
        "args.use_gpu = True if torch.cuda.is_available() else False\r\n",
        "args.gpu = 0\r\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "53o3pZ809p-a"
      },
      "source": [
        "# Set augments by using data name\r\n",
        "data_parser = {\r\n",
        "    'ETTh1':{'data':'ETTh1.csv','T':'OT','M':[7,7,7],'S':[1,1,1],'MS':[7,7,1]},\r\n",
        "    'ETTh2':{'data':'ETTh2.csv','T':'OT','M':[7,7,7],'S':[1,1,1],'MS':[7,7,1]},\r\n",
        "    'ETTm1':{'data':'ETTm1.csv','T':'OT','M':[7,7,7],'S':[1,1,1],'MS':[7,7,1]},\r\n",
        "    'ETTm2':{'data':'ETTm2.csv','T':'OT','M':[7,7,7],'S':[1,1,1],'MS':[7,7,1]},\r\n",
        "}\r\n",
        "if args.data in data_parser.keys():\r\n",
        "    data_info = data_parser[args.data]\r\n",
        "    args.data_path = data_info['data']\r\n",
        "    args.target = data_info['T']\r\n",
        "    args.enc_in, args.dec_in, args.c_out = data_info[args.features]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ywY-umrw-mHO",
        "outputId": "b0b95096-367d-4354-ae07-cfa5cb563012"
      },
      "source": [
        "print('Args in experiment:')\r\n",
        "print(args)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Args in experiment:\n",
            "{'model': 'informer', 'data': 'ETTh1', 'root_path': './ETDataset/ETT-small/', 'data_path': 'ETTh1.csv', 'features': 'M', 'target': 'OT', 'freq': 'h', 'seq_len': 96, 'label_len': 48, 'pred_len': 24, 'enc_in': 7, 'dec_in': 7, 'c_out': 7, 'factor': 5, 'd_model': 512, 'n_heads': 8, 'e_layers': 3, 'd_layers': 2, 'd_ff': 512, 'dropout': 0.05, 'attn': 'prob', 'embed': 'timeF', 'activation': 'gelu', 'distil': True, 'output_attention': False, 'batch_size': 32, 'learning_rate': 0.0001, 'loss': 'mse', 'lradj': 'type1', 'num_workers': 0, 'itr': 1, 'train_epochs': 6, 'patience': 3, 'des': 'exp', 'use_gpu': True, 'gpu': 0}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KVHZhRB4-on9"
      },
      "source": [
        "Exp = Exp_Informer"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "928tzaA2AA2g",
        "outputId": "ed27b9ae-6a7d-46f1-b7a1-9c09f858f166"
      },
      "source": [
        "for ii in range(args.itr):\r\n",
        "    # setting record of experiments\r\n",
        "    setting = '{}_{}_ft{}_sl{}_ll{}_pl{}_dm{}_nh{}_el{}_dl{}_df{}_at{}_eb{}_dt{}_{}_{}'.format(args.model, args.data, args.features, \r\n",
        "                args.seq_len, args.label_len, args.pred_len,\r\n",
        "                args.d_model, args.n_heads, args.e_layers, args.d_layers, args.d_ff, args.attn, args.embed, args.distil, args.des, ii)\r\n",
        "\r\n",
        "    # set experiments\r\n",
        "    exp = Exp(args)\r\n",
        "    \r\n",
        "    # train\r\n",
        "    print('>>>>>>>start training : {}>>>>>>>>>>>>>>>>>>>>>>>>>>'.format(setting))\r\n",
        "    exp.train(setting)\r\n",
        "    \r\n",
        "    # test\r\n",
        "    print('>>>>>>>testing : {}<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<'.format(setting))\r\n",
        "    exp.test(setting)\r\n",
        "\r\n",
        "    torch.cuda.empty_cache()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Use GPU: cuda:0\n",
            ">>>>>>>start training : informer_ETTh1_ftM_sl96_ll48_pl24_dm512_nh8_el3_dl2_df512_atprob_ebtimeF_dtTrue_exp_0>>>>>>>>>>>>>>>>>>>>>>>>>>\n",
            "train 8521\n",
            "val 2857\n",
            "test 2857\n",
            "\titers: 100, epoch: 1 | loss: 0.3482542\n",
            "\tspeed: 1.0702s/iter; left time: 1602.0720s\n",
            "\titers: 200, epoch: 1 | loss: 0.2667528\n",
            "\tspeed: 1.0806s/iter; left time: 1509.5765s\n",
            "Epoch: 1, Steps: 266 | Train Loss: 0.3161065 Vali Loss: 0.5061487 Test Loss: 0.4990626\n",
            "Validation loss decreased (inf --> 0.506149).  Saving model ...\n",
            "Updating learning rate to 0.0001\n",
            "\titers: 100, epoch: 2 | loss: 0.1639548\n",
            "\tspeed: 2.4650s/iter; left time: 3034.4235s\n",
            "\titers: 200, epoch: 2 | loss: 0.2114047\n",
            "\tspeed: 1.0828s/iter; left time: 1224.6842s\n",
            "Epoch: 2, Steps: 266 | Train Loss: 0.1943415 Vali Loss: 0.5589944 Test Loss: 0.4583803\n",
            "EarlyStopping counter: 1 out of 3\n",
            "Updating learning rate to 5e-05\n",
            "\titers: 100, epoch: 3 | loss: 0.1336038\n",
            "\tspeed: 2.4636s/iter; left time: 2377.4066s\n",
            "\titers: 200, epoch: 3 | loss: 0.1335782\n",
            "\tspeed: 1.0833s/iter; left time: 937.0418s\n",
            "Epoch: 3, Steps: 266 | Train Loss: 0.1465640 Vali Loss: 0.5651372 Test Loss: 0.5337000\n",
            "EarlyStopping counter: 2 out of 3\n",
            "Updating learning rate to 2.5e-05\n",
            "\titers: 100, epoch: 4 | loss: 0.1199655\n",
            "\tspeed: 2.4599s/iter; left time: 1719.5045s\n",
            "\titers: 200, epoch: 4 | loss: 0.1169346\n",
            "\tspeed: 1.0827s/iter; left time: 648.5537s\n",
            "Epoch: 4, Steps: 266 | Train Loss: 0.1228826 Vali Loss: 0.5699924 Test Loss: 0.5401764\n",
            "EarlyStopping counter: 3 out of 3\n",
            "Early stopping\n",
            ">>>>>>>testing : informer_ETTh1_ftM_sl96_ll48_pl24_dm512_nh8_el3_dl2_df512_atprob_ebtimeF_dtTrue_exp_0<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<\n",
            "test 2857\n",
            "test shape: (89, 32, 24, 7) (89, 32, 24, 7)\n",
            "test shape: (2848, 24, 7) (2848, 24, 7)\n",
            "mse:0.499165852117372, mae:0.5520500938212785\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CDHF-HerAE3u"
      },
      "source": [
        "## Prediction"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "s0YI1zx6ACiz"
      },
      "source": [
        "import os\r\n",
        "\r\n",
        "# set model path\r\n",
        "setting = 'informer_ETTh1_ftM_sl96_ll48_pl24_dm512_nh8_el3_dl2_df512_atprob_ebtimeF_dtTrue_exp_0'\r\n",
        "path = os.path.join('./checkpoints/',setting,'checkpoint.pth')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "x0xlYxA7AUHX"
      },
      "source": [
        "from data.data_loader import Dataset_ETT_hour\r\n",
        "from torch.utils.data import DataLoader\r\n",
        "\r\n",
        "# set prediction dataloader (using test dataloader here)\r\n",
        "Data = Dataset_ETT_hour\r\n",
        "timeenc = 0 if args.embed!='timeF' else 1\r\n",
        "flag = 'test'; shuffle_flag = False; drop_last = True; batch_size = 1\r\n",
        "\r\n",
        "data_set = Data(\r\n",
        "    root_path=args.root_path,\r\n",
        "    data_path=args.data_path,\r\n",
        "    flag=flag,\r\n",
        "    size=[args.seq_len, args.label_len, args.pred_len],\r\n",
        "    features=args.features,\r\n",
        "    target=args.target,\r\n",
        "    timeenc=timeenc,\r\n",
        "    freq=args.freq\r\n",
        ")\r\n",
        "data_loader = DataLoader(\r\n",
        "    data_set,\r\n",
        "    batch_size=batch_size,\r\n",
        "    shuffle=shuffle_flag,\r\n",
        "    num_workers=args.num_workers,\r\n",
        "    drop_last=drop_last)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KG1zZAArAVvj"
      },
      "source": [
        "from models.model import Informer\r\n",
        "\r\n",
        "# set device\r\n",
        "device = torch.device('cuda:0') if torch.cuda.is_available() else torch.device('cpu')\r\n",
        "\r\n",
        "args.output_attention = True\r\n",
        "\r\n",
        "# build model\r\n",
        "model = Informer(\r\n",
        "    args.enc_in,\r\n",
        "    args.dec_in, \r\n",
        "    args.c_out, \r\n",
        "    args.seq_len, \r\n",
        "    args.label_len,\r\n",
        "    args.pred_len, \r\n",
        "    args.factor,\r\n",
        "    args.d_model, \r\n",
        "    args.n_heads, \r\n",
        "    args.e_layers,\r\n",
        "    args.d_layers, \r\n",
        "    args.d_ff,\r\n",
        "    args.dropout, \r\n",
        "    args.attn,\r\n",
        "    args.embed,\r\n",
        "    args.freq,\r\n",
        "    args.activation,\r\n",
        "    args.output_attention,\r\n",
        "    args.distil,\r\n",
        "    device\r\n",
        ")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "slsOBb4BAYDV",
        "outputId": "2a21f0f2-f6e7-49ff-9046-9b6e939751cd"
      },
      "source": [
        "# load parameters\r\n",
        "model.load_state_dict(torch.load(path))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<All keys matched successfully>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jf4XTT2QAZeo",
        "outputId": "86079d12-1b87-46cb-987e-bfa42c2c4ffa"
      },
      "source": [
        "model = model.double().to(device)\r\n",
        "model.eval()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Informer(\n",
              "  (enc_embedding): DataEmbedding(\n",
              "    (value_embedding): TokenEmbedding(\n",
              "      (tokenConv): Conv1d(7, 512, kernel_size=(3,), stride=(1,), padding=(1,), padding_mode=circular)\n",
              "    )\n",
              "    (position_embedding): PositionalEmbedding()\n",
              "    (temporal_embedding): TimeFeatureEmbedding(\n",
              "      (embed): Linear(in_features=4, out_features=512, bias=True)\n",
              "    )\n",
              "    (dropout): Dropout(p=0.05, inplace=False)\n",
              "  )\n",
              "  (dec_embedding): DataEmbedding(\n",
              "    (value_embedding): TokenEmbedding(\n",
              "      (tokenConv): Conv1d(7, 512, kernel_size=(3,), stride=(1,), padding=(1,), padding_mode=circular)\n",
              "    )\n",
              "    (position_embedding): PositionalEmbedding()\n",
              "    (temporal_embedding): TimeFeatureEmbedding(\n",
              "      (embed): Linear(in_features=4, out_features=512, bias=True)\n",
              "    )\n",
              "    (dropout): Dropout(p=0.05, inplace=False)\n",
              "  )\n",
              "  (encoder): Encoder(\n",
              "    (attn_layers): ModuleList(\n",
              "      (0): EncoderLayer(\n",
              "        (attention): AttentionLayer(\n",
              "          (inner_attention): ProbAttention(\n",
              "            (dropout): Dropout(p=0.05, inplace=False)\n",
              "          )\n",
              "          (query_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (key_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (value_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (out_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "        )\n",
              "        (conv1): Conv1d(512, 512, kernel_size=(1,), stride=(1,))\n",
              "        (conv2): Conv1d(512, 512, kernel_size=(1,), stride=(1,))\n",
              "        (norm1): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
              "        (norm2): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
              "        (dropout): Dropout(p=0.05, inplace=False)\n",
              "      )\n",
              "      (1): EncoderLayer(\n",
              "        (attention): AttentionLayer(\n",
              "          (inner_attention): ProbAttention(\n",
              "            (dropout): Dropout(p=0.05, inplace=False)\n",
              "          )\n",
              "          (query_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (key_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (value_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (out_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "        )\n",
              "        (conv1): Conv1d(512, 512, kernel_size=(1,), stride=(1,))\n",
              "        (conv2): Conv1d(512, 512, kernel_size=(1,), stride=(1,))\n",
              "        (norm1): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
              "        (norm2): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
              "        (dropout): Dropout(p=0.05, inplace=False)\n",
              "      )\n",
              "      (2): EncoderLayer(\n",
              "        (attention): AttentionLayer(\n",
              "          (inner_attention): ProbAttention(\n",
              "            (dropout): Dropout(p=0.05, inplace=False)\n",
              "          )\n",
              "          (query_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (key_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (value_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (out_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "        )\n",
              "        (conv1): Conv1d(512, 512, kernel_size=(1,), stride=(1,))\n",
              "        (conv2): Conv1d(512, 512, kernel_size=(1,), stride=(1,))\n",
              "        (norm1): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
              "        (norm2): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
              "        (dropout): Dropout(p=0.05, inplace=False)\n",
              "      )\n",
              "    )\n",
              "    (conv_layers): ModuleList(\n",
              "      (0): ConvLayer(\n",
              "        (downConv): Conv1d(512, 512, kernel_size=(3,), stride=(1,), padding=(2,), padding_mode=circular)\n",
              "        (norm): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (activation): ELU(alpha=1.0)\n",
              "        (maxPool): MaxPool1d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n",
              "      )\n",
              "      (1): ConvLayer(\n",
              "        (downConv): Conv1d(512, 512, kernel_size=(3,), stride=(1,), padding=(2,), padding_mode=circular)\n",
              "        (norm): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "        (activation): ELU(alpha=1.0)\n",
              "        (maxPool): MaxPool1d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n",
              "      )\n",
              "    )\n",
              "    (norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
              "  )\n",
              "  (decoder): Decoder(\n",
              "    (layers): ModuleList(\n",
              "      (0): DecoderLayer(\n",
              "        (self_attention): AttentionLayer(\n",
              "          (inner_attention): FullAttention(\n",
              "            (dropout): Dropout(p=0.05, inplace=False)\n",
              "          )\n",
              "          (query_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (key_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (value_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (out_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "        )\n",
              "        (cross_attention): AttentionLayer(\n",
              "          (inner_attention): FullAttention(\n",
              "            (dropout): Dropout(p=0.05, inplace=False)\n",
              "          )\n",
              "          (query_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (key_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (value_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (out_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "        )\n",
              "        (conv1): Conv1d(512, 512, kernel_size=(1,), stride=(1,))\n",
              "        (conv2): Conv1d(512, 512, kernel_size=(1,), stride=(1,))\n",
              "        (norm1): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
              "        (norm2): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
              "        (norm3): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
              "        (dropout): Dropout(p=0.05, inplace=False)\n",
              "      )\n",
              "      (1): DecoderLayer(\n",
              "        (self_attention): AttentionLayer(\n",
              "          (inner_attention): FullAttention(\n",
              "            (dropout): Dropout(p=0.05, inplace=False)\n",
              "          )\n",
              "          (query_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (key_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (value_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (out_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "        )\n",
              "        (cross_attention): AttentionLayer(\n",
              "          (inner_attention): FullAttention(\n",
              "            (dropout): Dropout(p=0.05, inplace=False)\n",
              "          )\n",
              "          (query_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (key_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (value_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "          (out_projection): Linear(in_features=512, out_features=512, bias=True)\n",
              "        )\n",
              "        (conv1): Conv1d(512, 512, kernel_size=(1,), stride=(1,))\n",
              "        (conv2): Conv1d(512, 512, kernel_size=(1,), stride=(1,))\n",
              "        (norm1): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
              "        (norm2): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
              "        (norm3): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
              "        (dropout): Dropout(p=0.05, inplace=False)\n",
              "      )\n",
              "    )\n",
              "    (norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
              "  )\n",
              "  (projection): Linear(in_features=512, out_features=7, bias=True)\n",
              ")"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GY976DJyAa3-"
      },
      "source": [
        "preds = []\r\n",
        "trues = []\r\n",
        "        \r\n",
        "for i, (batch_x,batch_y,batch_x_mark,batch_y_mark) in enumerate(data_loader):\r\n",
        "    batch_x = batch_x.double().to(device)\r\n",
        "    batch_y = batch_y.double()\r\n",
        "    batch_x_mark = batch_x_mark.double().to(device)\r\n",
        "    batch_y_mark = batch_y_mark.double().to(device)\r\n",
        "\r\n",
        "    # decoder input = concat[start token series(label_len), zero padding series(pred_len)]\r\n",
        "    dec_inp = torch.zeros_like(batch_y[:,-args.pred_len:,:]).double()\r\n",
        "    dec_inp = torch.cat([batch_y[:,:args.label_len,:], dec_inp], dim=1).double().to(device)\r\n",
        "    \r\n",
        "    # encoder - decoder\r\n",
        "    if args.output_attention:\r\n",
        "        outputs = model(batch_x, batch_x_mark, dec_inp, batch_y_mark)[0]\r\n",
        "    else:\r\n",
        "        outputs = model(batch_x, batch_x_mark, dec_inp, batch_y_mark)\r\n",
        "    batch_y = batch_y[:,-args.pred_len:,:]\r\n",
        "\r\n",
        "    pred = outputs.detach().cpu().numpy()#.squeeze()\r\n",
        "    true = batch_y.detach().cpu().numpy()#.squeeze()\r\n",
        "\r\n",
        "    preds.append(pred)\r\n",
        "    trues.append(true)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xrMekOUyAccD",
        "outputId": "272d8196-16e6-48d3-de0b-1ef717baa8ca"
      },
      "source": [
        "import numpy as np\r\n",
        "\r\n",
        "preds = np.array(preds)\r\n",
        "trues = np.array(trues)\r\n",
        "\r\n",
        "print('prediction shape:', preds.shape, trues.shape) # [num_samples//batch_size, batch_size, pred_len, c_out]\r\n",
        "preds = preds.reshape(-1, preds.shape[-2], preds.shape[-1])\r\n",
        "trues = trues.reshape(-1, trues.shape[-2], trues.shape[-1])\r\n",
        "print('prediction shape:', preds.shape, trues.shape) # [num_samples, pred_len, c_out]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "prediction shape: (2857, 1, 24, 7) (2857, 1, 24, 7)\n",
            "prediction shape: (2857, 24, 7) (2857, 24, 7)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cNhEP_7sAgqC"
      },
      "source": [
        "## Visualization"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZEGhDOmxAeAb"
      },
      "source": [
        "import matplotlib.pyplot as plt\r\n",
        "import seaborn as sns"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "kyPuOPGAAjl3",
        "outputId": "8554f6f8-c13a-43e1-b04b-5f27823445d0"
      },
      "source": [
        "# draw OT prediction\r\n",
        "plt.figure()\r\n",
        "plt.plot(trues[0,:,-1], label='GroundTruth')\r\n",
        "plt.plot(preds[0,:,-1], label='Prediction')\r\n",
        "plt.legend()\r\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "43MIgWfpMYIB",
        "outputId": "327f64b7-363c-44f9-c7c8-1f654911068c"
      },
      "source": [
        "# draw HUFL prediction\r\n",
        "plt.figure()\r\n",
        "plt.plot(trues[0,:,0], label='GroundTruth')\r\n",
        "plt.plot(preds[0,:,0], label='Prediction')\r\n",
        "plt.legend()\r\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lDdzqm9HAk2C"
      },
      "source": [
        "# attention visualization\r\n",
        "idx = 0\r\n",
        "for i, (batch_x,batch_y,batch_x_mark,batch_y_mark) in enumerate(data_loader):\r\n",
        "    if i!=idx:\r\n",
        "        continue\r\n",
        "    batch_x = batch_x.double().to(device)\r\n",
        "    batch_y = batch_y.double()\r\n",
        "\r\n",
        "    batch_x_mark = batch_x_mark.double().to(device)\r\n",
        "    batch_y_mark = batch_y_mark.double().to(device)\r\n",
        "    \r\n",
        "    dec_inp = torch.zeros_like(batch_y[:,-args.pred_len:,:]).double()\r\n",
        "    dec_inp = torch.cat([batch_y[:,:args.label_len,:], dec_inp], dim=1).double().to(device)\r\n",
        "    \r\n",
        "    outputs,attn = model(batch_x, batch_x_mark, dec_inp, batch_y_mark)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hWef23vWAmUz",
        "outputId": "cb2f55e8-7c5a-4d58-9b16-e11de71d7505"
      },
      "source": [
        "attn[0].shape, attn[1].shape, attn[2].shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(torch.Size([1, 8, 96, 96]),\n",
              " torch.Size([1, 8, 49, 49]),\n",
              " torch.Size([1, 8, 26, 26]))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "iZDH1fZgAnrl",
        "outputId": "991cae95-04a2-402d-f179-777e962f46fe"
      },
      "source": [
        "layer = 0\r\n",
        "distil = 'Distil' if args.distil else 'NoDistil'\r\n",
        "for h in range(0,8):\r\n",
        "    plt.figure(figsize=[10,8])\r\n",
        "    plt.title('Informer, {}, attn:{} layer:{} head:{}'.format(distil, args.attn, layer, h))\r\n",
        "    A = attn[layer][0,h].detach().cpu().numpy()\r\n",
        "    ax = sns.heatmap(A, vmin=0, vmax=A.max()+0.01)\r\n",
        "    plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "DQFGYE3KAozo",
        "outputId": "10489845-4e23-4b55-8509-edf50d77394d"
      },
      "source": [
        "layer = 1\r\n",
        "distil = 'Distil' if args.distil else 'NoDistil'\r\n",
        "for h in range(0,8):\r\n",
        "    plt.figure(figsize=[10,8])\r\n",
        "    plt.title('Informer, {}, attn:{} layer:{} head:{}'.format(distil, args.attn, layer, h))\r\n",
        "    A = attn[layer][0,h].detach().cpu().numpy()\r\n",
        "    ax = sns.heatmap(A, vmin=0, vmax=A.max()+0.01)\r\n",
        "    plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Zl9DRwB3Ap4CgUmHpBT5c53KZmZlZWe4Sohf4EfA2YFdErAEGIuKGiLhhso0krZK0TtK6wf27aldaMzMza0lTtrBExCjwUUlfKv7fnG1TbLcaWA2weN5J+eU0ZmZmduB8WXNFRGwALpT0EsDXdJmZmdlBNa3LmiPi68DX61QWMzMzOxAtMIal7nlYjuzKk8LdsCVPerRi3mFpzAN7tqQxZZJwPXvxyWnM2l33pDFlkqsBHN65II354bY86ddRPXmypo19eVK0uSXO0QVLz0hjrtnx0zSmf/9gGlPm/AD8ZFv+mhzele9rx748odWCEonKfmPRqWnMV7ffmsb0DeVJ4RZ1zEtjyiYNXNDRlcbs3JcnV1zWnSeFK5NcrntORxqzpT8fK9fWnWdx2D2YJ07rKlEeKPf5P2XhMWnMrXsfSGOWdy9NY+7f83AaU+Y7pMzzap+b/7SUSSwJcNrClWnMJ7felMY8Z8mT0pgbt92VxpRJimf14cRxZmZmzc5jWMzMzKzhtUCFZdqZbs3MzMwONrewmJmZNbmIQz/TrVtYzMzMrOG5hcXMzKzZtcAYFldYzMzMml0L5GFxl5CZmZk1PEXUd6qf5YtO9VxCZmbWUjbuuD3PilhDA99eXfPf2s7nrTqozyHjFhYzMzNreFOOYZH0TODOiNgtqRO4FHg6cAfw/ojI82GbmZlZfXkMC1cAY5NrXAYsAD5YLLuyjuUyMzOzskZHa39rMNlVQrMiYri43xsRTy/u/5ekm+tYLjMzM7NHZC0st0l6bXH/Fkm9AJJOBvZPtpGkVZLWSVq3d7DcDLFmZmZ2gGK09rcSJJ0n6S5Jd0u6dIL1fyrpDkk/lfRtScdWrRuRdHNxuzY7VlZheT1wjqR7gFOA/5a0HvinYt2EImJ1RPRGRG93x6KsDGZmZtZkJLUBnwBeTKWO8CpJp4wL+wmVHpqnAlcBf1O1biAiTi9uL8uON2WXUDGo9jWS5gPHFfEbImJz6WdkZmZm9TUzY07OAu6OiPUAkr4AnE/lwhwAIuK7VfE/AF59oAcrdVlzROyOiFsi4keurJiZmR36qod3FLdV40KWAw9UPd5QLJvM64BvVD2eW+z3B5JenpXHqfnNzMyaXR1aWCJiNbC6FvuS9GqgFzinavGxEbFR0vHAdyTdGhH3TLYPV1jMzMya3czkYdkIrKh6fHSx7DEkPR94G3BORAyOLY+IjcX/6yWtAc4AJq2wONOtmZmZHYi1wEmSjpPUDrwSeMzVPpLOAC4HXhYRD1ctXySpo7i/FHgOVWNfJuIWFjMzs2Y3A4NuI2JY0puAbwFtwBURcbuk9wDrIuJa4G+BHuBLkgDuL64IejJwuaRRKo0nH4gIV1jMzMys9iLiOuC6ccveUXX/+ZNsdyNw2nSO5QqLmZlZs2uBuYRcYTEzM2t2DTj3T6150K2ZmZk1PLewmJmZNbsW6BJyC4uZmZk1PLewmJmZNbsWGMMyZYWlKhHMgxHxH5IuAn4VuBNYHRH7D0IZzczMbCqtXmEBrixiuiRdQiX5y5eB51GZpfGS+hbPzMzMLK+wnBYRT5U0m8r8AEdFxIikzwG3TLZRMaPjKoAFnUfS3bGoZgU2MzOzcSJmugR1lw26nVV0C80DuoAFxfIOYM5kG0XE6ojojYheV1bMzMzsicpaWD4N/IzKHAFvozIXwHrgWcAX6lw2MzMzK6PVx7BExEcl/Vtx/0FJ/wI8H/iniPjhwSigmZmZWXpZc0Q8WHV/J3BVXUtkZmZm09PqLSxmZmbWBJzp1szMzGzmuYXFzMys2bVAl5BbWMzMzKzhuYXFzMys2bVA4jhXWMzMzJqdu4TMzMzMZp5bWMzMzJqdW1jMzMzMZp5bWMzMzJpdCySOc4XFzMysycXooX+VkLuEzMzMrOG5hcXMzKzZtfqgW0kLJH1A0s8kbZe0TdKdxbKFU2y3StI6Sev2Du6ofanNzMyspWRdQl8EdgDnRsTiiFgCPLdY9sXJNoqI1RHRGxG93R2LaldaMzMze7wYrf2twWQVlpUR8cGI2DS2ICI2RcQHgWPrWzQzMzOziqzCcp+kv5C0bGyBpGWS3go8UN+imZmZWSmjUftbg8kG3b4CuBS4QdLhxbLNwLXAhWUOsGuwP405ZeExacwdO+9PY46ff0Qac8/uh9KY5d1L05gH925LY+bMaktjAPaPjqQxZy99chrz/e13pTHPWnRyGnPDltvTmOU9+Tna3J+PX5olpTEqEQPwyfnPTmP+cPd/pzG/Mv/oNObWHfemMZ2z29OYwZH9acxoiUnNetrnpjGvWnR6GgNwxcM/TGNW9ByWxjzYX5vPyEiJwYQjJZqvy7weS+cuSGPW796UxgDMb+9MY4ZGhtOY9rb82ogy3yFlLJk7P43pH96Xxmwb2JPGtM0qd5Hq7BLvkZ45+fu/f/9gGlPmPJ68YHkaMyNaYNDtlJ+EiNgBvLW4PYak1wJX1qlcZmZmZo94InlY3l2zUpiZmdmBGx2t/a3BTNnCIumnk60Clk2yzszMzKymss7RZcCLqFzGXE3AjXUpkZmZmU1PibFuzS6rsHwN6ImIm8evkLSmLiUyMzOz6WnALpxaywbdvm6KdRfVvjhmZmZmj+e5hMzMzJpdA+ZNqTXP1mxmZmYNT1HngTrLF5166Ff7zMzMqmzccXu5jJc10v+3v1fz39quP7/ioD6HjLuEzMzMmp27hMzMzMxmnltYzMzMmly0wGXNbmExMzOzhjdlhUXSfEn/R9JnJV00bt0np9hulaR1ktbtHcxn7DUzM7MnYDRqf2swWQvLlVTS8F8NvFLS1ZI6inXPmmyjiFgdEb0R0dvdsahGRTUzM7NWlY1hOSEifru4f42ktwHfkfSyOpfLzMzMyopDfwxLVmHpkDQronImIuJ9kjYC3wN66l46MzMzyzVgF06tZRWWrwK/DvzH2IKI+IykTcDflznASIlaX//+wTTmmJ7D05hf7tmUxrQpH2f8/KVPSWO+u+2ONGb/6EgaAzB39pw0ZmhkOI1Z0XNYGrN+d23O0R8f/uw05hNbf5jGlDlH7W3lLmYbLrGvwzoXpjGb+renMbNntaUxly3Iz9FbduaTnpf5DHW05e+hWSqXA6p7ztw0ZtvAnhL76UhjTpt/bBpz865fpjF9Q/vSmJ72/HmNlkik2Tm7PY0B6Nufl2nJ3PlpzLzZnWnMtqHdeUyJ12xuifeRSryPFrR3pTG7hvrTGIDDS3xmdw71pTFLOvJzfd+eh9OYOSU++1Yf2eSHfzHJ8m9Ken99imRmZmbT4suap/TumpXCzMzMbApTtrBI+ulkq4BltS+OmZmZTZvHsLAMeBEwPpmKgLzz3czMzOrPVwnxNaAnIm4ev0LSmrqUyMzMzGycbNDt66ZYd9Fk68zMzOwgaoEuIc8lZGZmZg3PszWbmZk1uVaYrVlRIlHSE7F80amHfjuVmZlZlY07bi+XqbFG+t76WzX/re354JcP6nPIuEvIzMzMGp67hMzMzJqdB92amZmZzbxpt7BIOjwi8hmizMzM7OBo9cRxkhaPXwT8UNIZVAbsTjitraRVwCqABZ1H0t2xqBZlNTMzsxaVtbBsBe4bt2w58GMggOMn2igiVgOrwVcJmZmZ1V0LjGHJKix/DrwA+POIuBVA0i8j4ri6l8zMzMxKiRaosEw56DYiPgy8HniHpI9ImkelZcXMzMxanKTzJN0l6W5Jl06w/k8l3SHpp5K+LenYqnWXSPpFcbskO1Z6lVBEbIiIC4E1wPVA1/SejpmZmdXVaNT+lpDUBnwCeDFwCvAqSaeMC/sJ0BsRTwWuAv6m2HYx8E7gmcBZwDslTTngtfRlzRFxLfBc4PnFwV5bdlszMzM75JwF3B0R6yNiCPgCcH51QER8NyL6i4c/AI4u7r8IuD4itkfEDioNIudNdbBp5WGJiIGIuK14+O7pbGtmZmZ1Mjpa+1tuOfBA1eMNxbLJvA74xgFum17W/NPJVgHLptrWzMzMDpI6DLqtTlFSWF1cBXwg+3o10Aucc6Dlya4SWkal2WbH+GMDNx7oQc3MzKyxVacomcRGYEXV46OLZY8h6fnA24BzImKwattzx227ZqryZBWWrwE9EXHzBAWYcsdmZmZ2kMzMZc1rgZMkHUelAvJK4KLqgCLR7OXAeeOy5H8LeH/VQNsXAn851cGmrLBExOumWHfRZOvMzMzs0BYRw5LeRKXy0QZcERG3S3oPsK64WOdvgR7gS5IA7o+Il0XEdknvpVLpAXjPZNnzx3i2ZjMzsyYXMTMp0iLiOuC6ccveUXX/+VNsewVwRdljucJiZmbW7Fo9062ZmZlZI3ALi5mZWbNzC4uZmZnZzJt2C4ukJRGxrR6FMTMzs+lr+dmaJX1A0tLifq+k9cBNku6TNGm2OkmrJK2TtG7v4Picc2ZmZmbTk3UJvSQithb3/xZ4RUScCLwA+PBkG0XE6ojojYje7o4pJ180MzOzJ2oGZms+2LIuodmSZkfEMNAZEWsBIuLnkjrqXzwzMzNLlZqrsLllLSyfBK6T9OvANyVdJukcSe8GHpeu38zMzKwestT8fy/pVuCNwMlF/EnANcB76188MzMzy7TCoNv0KqGIWMMEMyhKei1wZe2LZGZmZvZYTyQPy7trVgozMzM7cK0+6FbSTydbBSyrfXHMzMxs2lpg0G3WJbQMeBEwPpmKgBvrUiIzMzOzcbIKy9eAnoh43BVBktbUpURmZmY2LS0/6DYiXjfFuotqXxwzMzOzx/NszWZmZs3OY1jMzMys0bV8l1AtdM/uTGO2DOxMY05bcGwac+uu+9KYfSP705jDuxakMdsG9qQx7W3lTu+yzny+pc0D+SSSK3vyC7c278v3s31fXxqzsKM7jdk91J/GdM3JZ3g4unNpGgPw4EA+ifhRnUvSmC1Du9KY3YP5cyujTXlmgVHyL6IjuxanMQ+X+JwBPGX+MWnML/Y+lMbsGx5KY8p8RkYi/9Nx/+hIGnN458I0Ztu+3WnMry36lTQG4D933JXGlHluPXPmpjGDJb7XhkaG05hlXfl30Y7B/LvvNYvPTGNWb7kpjQEYjfz9f1R3/rne1L89jSlzjo7qyY9l9eEWFjMzs2bXAl1CTyRxnJmZmdlB4RYWMzOzJleid7HpucJiZmbW7FqgwjJll5CkXknflfQ5SSskXS9pl6S1ks6YYrtVktZJWrdr35bal9rMzMxaSjaG5ZPA3wBfp5KK//KIWABcWqybUESsjojeiOhdMPewmhXWzMzMHi9Ga39rNFmFZU5EfCMiPg9ERFxF5c63gfxaOzMzM7MayMaw7JP0QmABEJJeHhHXSDoHyBMfmJmZWf01YItIrSmmSMoj6WlUuoRGgT8B3ghcAmwE3hAR6YzNyxedeuin3zMzM6uyccftOpjH2/qic2r+W7v0Wzcc1OeQySY/vAV4UdWiPypuSHotlXEtZmZmNoMaccxJrT2RxHHvrlkpzMzM7IC1wqDbKVtYJP10slVAPnGNmZmZWQ1kg26XUekSGj9jnnB3kJmZWUNoxBaRWssqLF8DeiLi5vErJK2pS4nMzMzMxskG3b5uinUX1b44ZmZmNm3RUBf01IXnEjIzM2tyrdAl9ESuEjIzMzM7KNzCYmZm1uRi9NDvEnILi5mZmTU8t7CYmZk1uVYYw+IKi5mZWZOLFrhKaMouIUkLJH1A0s8kbZe0TdKdxbKFB6uQZmZm1tqyMSxfpJLl9tyIWBwRS4DnFsu+ONlGklZJWidp3d7B8UlyzczMrJZaYS6hrMKyMiI+GBGbxhZExKaI+CBw7GQbRcTqiOiNiN7ujkW1KquZmZm1qGwMy32S/gL454jYDCBpGfAa4IE6l83MzMxK8GXN8ApgCXCDpB2StgNrgMXA79S5bGZmZmZAPpfQDklXAtcDP4iIvrF1ks4DvpkdYGB4KC3EvPbONGZoZDiNCSKNGRzen8Y8a9FJacz3t9+VxpQl5TXjnjlz05jRyJ//aImOyTLn+neXnpnGfGbL2jSmTXkqoP2jI2kMQE97fo7KEPnrsa/E+/pDC5+Vxrxl+3+lMWVe+779+9KYJXPnpTFQ7nyXeR+V2U/vwhPSmJt2/CKNmTm/YsoAACAASURBVFXiNStTniWd+TnqHx5MYwA62uakMcMlynRU55I05t6+zWlMlPh+GBrNP/tHdefl2TG4J40pc36g3HdEme/QMp/ZMr9XI404uAMo8fI2vewqobcAXwHeBNwm6fyq1e+vZ8HMzMysnBhVzW+NJhvD8gbgzIjok7QSuErSyoi4DEr8SWNmZmZWA1mFZdZYN1BE3CvpXCqVlmNxhcXMzKwhNGKLSK1lnYObJZ0+9qCovLwUWAqcVs+CmZmZmY3JWlguBh4zCisihoGLJV1et1KZmZlZaa0w6Da7SmjDFOu+X/vimJmZ2XS5S8jMzMysAXi2ZjMzsybXCrM1173CUibp1c7BvWnMkrnz05gd+/JkRfM7utKYm/fcl8Z0zm5PY47oXJzGAOwYyss9MJInNCqTiGlwf544r8w5unrXbWlMmXN0XPcRaczDQ7vSGIBt+3anMV2zO9KY/SWSZ5U5R+/Y+5M0ZvastjRmRddhaczDgzvTmC0D+fkBWNjRncaMlkjSWOb9+Mt9W9KYMsnVnrrouDTm7r4H05iH+/P32mGd+XcRlEswVyYpWv9Ivp/+/XnMc5Y+KY25Zfe9acwDe/LXbFn3wjRm92B/GgPQNSf/zJ7QmX+P/GjHPWnMynnL0piH+renMVYfbmExMzNrcg2agLemXGExMzNrcqMt0CXkQbdmZmbW8LK5hOZL+j+SPivponHrPlnfopmZmVkZEar5rdFkLSxXUknBfzXwSklXSxobATXpVLSSVklaJ2ld36AHKJmZmdkTk41hOSEifru4f42ktwHfkfSyqTaKiNXAaoBjFp/WAvn3zMzMZk4rJI7LKiwdkmZFVMYfR8T7JG0Evgf01L10ZmZmZuRdQl8Ffr16QUR8BvgzIE8MYmZmZnUXUftbo1EkpZL0JGA5cFMxW/PY8hdHxDeyAyxfdGoDPm0zM7P62bjj9oPaR3PHCS+p+W/tKfd8vaH6mbKrhN4MfAV4M3CbpPOrVr+vngUzMzMzG5ONYVkFnBkRfZJWAldJWhkRl1G5esjMzMxmmBPHwayxbqCIuBc4F3ixpI/gCouZmVlLk3SepLsk3S3p0gnWny3px5KGJV0wbt2IpJuL27XZsbIWls2STo+ImwGKlpaXAlcAp03jOZmZmVmdzESiN0ltwCeAFwAbgLWSro2IO6rC7gdeA/zvCXYxEBGnlz1eVmG5GHjM1LURMQxcLOnysgcxMzOz+pmhq3rOAu6OiPUAkr4AnA88UmEpemeQ9ISnZ5yySygiNkTEpknWff+JHtzMzMya1nLggarHG4plZc0tsuL/QNLLs2DP1mxmZtbk6jHoVtIqKhffjFldZLKvlWMjYqOk46lk0b81Iu6ZLNgVFjMzM3uc6ml2JrERWFH1+OhiWdn9byz+Xy9pDXAGMGmFJbtKyMzMzBrcDM3WvBY4SdJxktqBVwLp1T4AkhaNTaYsaSnwHKrGvkzEFRYzM7MmNxOp+YuLcN4EfAu4E/hiRNwu6T1jkyRLeoakDcCFwOWSbi82fzKwTtItwHeBD4y7uuhxpt0lJOnwiHh4utuZmZnZoSUirgOuG7fsHVX311LpKhq/3Y1MMz3KlBUWSYvHLwJ+KOkMKvMQbZ/OwczMzKz2WiHTbdbCshW4b9yy5cCPgQCOn2ij6pHFCzqPpLtj0RMsppmZmbWybAzLnwN3AS+LiOMi4jhgQ3F/wsoKVEYWR0RvRPS6smJmZlZfMzTo9qDKEsd9GHg98A5JH5E0j0rLipmZmdlBkw66jYgNwIXFiN/rga66l8rMzMxK8xgWQNKTqIxb+Q6VCssJxfLzIuKb9S2emZmZZVqh62PKLiFJbwG+ArwZuA14YUTcVqx+f53LZmZmZgbkLSxvAM6MiD5JK4GrJK2MiMuoXOJsZmZmM8xdQjArIvqgMkW0pHOpVFqOxRUWMzMzO0iyy5o3Szp97EFReXkpsJRpZqgzMzOz+miFy5qzFpaLgeHqBcXcARdLurxupTIzM7PSRme6AAfBlBWW4pLmydZ9v/bFMTMzM3u8aU9+aGZmZo0lWmBYaTaGxczMzGzG1b2FZSTynrVdg/1pzEsPPz2N+ermn6QxUl4L7Wmfm8b0De1LYzpnt6cxAO1t+cuwZ2ggjXnOkielMf+59c40pk15PbZMmYdHR2qyn/nt3WkMwMP9O9OYE+Yfmcb8fNfGNKZMuUdG8/d+26z8XA+NDKcxT164Io25a9ekPbyP8fRFJ6Qx67bfncaUOUcRebqrMp/ZMufo15Y+OY35/rafpTGvOrw3jQH4/MPr0pjZs9pK7StT5vnPKnEezyzx2v94x/o05r7nHpPGHPPd8fPqTkwlWg6653SkMTsH99bkWCcuOCqNmQmjLZA5zl1CZmZmTW7UXUJmZmZmM2/aLSySlkTEtnoUxszMzKav5QfdSvqApKXF/V5J64GbJN0n6ZyDUkIzMzNreVmX0EsiYmtx/2+BV0TEicALgA9PtpGkVZLWSVrXP5QPhDQzM7MDN1qHW6PJKiyzJY11G3VGxFqAiPg5MOmw7IhYHRG9EdHb1b6wRkU1MzOzVpWNYfkkcJ2kDwDflHQZ8GXg14Gb6104MzMzy7XCGJYsNf/fS7oVeCNwchF/EnAN8Nf1L56ZmZllGrELp9aUJW6S9CRgOXBTMVvz2PLzIuKb2QGWLzq1BdLZmJmZPWrjjtsPapPHN5e9sua/tedt/kJDNdtkVwm9BfgK8GbgNknnV61+fz0LZmZmZuW0wqDbbAzLG4AzI6JP0krgKkkrI+IyaIEOMzMzM2sIWYVl1lg3UETcK+lcKpWWY3GFxczMrCG0wqDb7LLmzZIemXWwqLy8FFgKnFbPgpmZmVk5o6r9rdFkFZaLgU3VCyJiOCIuBs6uW6nMzMzMqmSXNU86H31EfL/2xTEzM7Pp8mzNZmZmZg1g2rM1m5mZWWNphYRnda+wdM2em8YMjAymMdsG9qQxx847PI0ZTRLlAezZ35/GlNE2q1wDVmfbpNMyPWLnUF8aM7B/KI1Z0jkvjdk3nO9Hqk3zo0o0Y86Z1VZqXyORZw7o27+vZsfLdM/J3/tlyjyrxDnqH84/Qwvae9IYgK37dqUx7W35V8fIaP7c5rV3pjFlPh9lPLh3WxpT5jXbW+I9VFbn7PY0ZnaJ9+OSjvl5zOz89f/h9l+kMV1z8tejzHdRmfc+wMKO7jRm3pyuNKa7xPvoqXOPSGOu2dqYs9I0Yt6UWnOXkJmZmTU8dwmZmZk1udEatXo3MrewmJmZWcPL5hLqlfRdSZ+TtELS9ZJ2SVor6YyDVUgzMzObXNTh1miyFpZPAn8DfB24Ebg8IhYAlxbrJiRplaR1ktbt2re1ZoU1MzOz1pRVWOZExDci4vNARMRVVO58G5h0OH1ErI6I3ojoXTB3aQ2La2ZmZuN5tmbYJ+mFwAIgJL08Iq6RdA4wUv/imZmZWaYR5/6ptazC8gdUuoRGgRcBb5T0GWAj8Ib6Fs3MzMysIptL6BZJfwwcBWyIiD8C/ghA0nllDrBjME/4trhE0qPB9v1pTN/wQL6fkXw/T5l3TBrzox33pDEds+ekMQB7h/JEVGWSJ5UxPJo3jI2WGG71rPknpjHf235nGlMmAdnewXKJusqco7lt+WvSUSKmTAK65807OY25eutP0pieEsnMhkaG05iyyhyvzPsoSlxmuaQ9/+zfv/fhNKZMIsMyMQva8/dQlByOWCbhW5nket2z8+R6mwd2pDEPsT2NKZPIcUXXYWnMxv587OKcEp/9ssok+9xVIvnm+r5NaUyZ12wmtPxcQpLeAvw78GbgNknnV61+fz0LZmZmZjYmq+K+AeiNiD5JK4GrJK2MiMugBapzZmZmTaARL0OutazCMisi+gAi4l5J51KptByLKyxmZmYNoRUG3WaXNW+WdPrYg6Ly8lJgKXBaPQtmZmZmNiZrYbkYeMxovogYBi6WdHndSmVmZmalNeZQ4NrKrhLaMMW679e+OGZmZmaP59mazczMmpwH3ZqZmVnDa4VBt3WvsCyduyCNuW9Pnhjq6J58TqKHB3amMQvau9KYn+99MI0pk4Rq3pz8WACz2/MEUw/u3ZbGHNaZJ+HaNZQnWCqTOO22vQ+kMWUc3Zm/rkNRLina+t150qfFc3vy443mx2ublY1Xhxv770tjIvK/i1Z2LUtjHtCWNGZDXx4DML8jf9+WeY/s3z+YxswqcbHhvuE82eMZi45PY37WN2kP9yPu3b05jVlU4j1UVplElkd25on8Hijx2j5jcZ7s8bbd96cxt+/I39dHdC9KY8raNzyUxpzcszyNuWXnL9OYJXPnpTFlvkOtPtzCYmZm1uRaYdBt/meimZmZ2QybsoVF0mzgdcBvUplPCCoTH34F+HRE5O2ZZmZmVlet0MKSdQl9FtgJvAsY6wA+GrgE+BzwirqVzMzMzKyQVVjOjIjxU85uAH4g6eeTbSRpFbAKYFnPsSzszGf3NDMzswMTLXCVUDaGZbukCyU9EidplqRXAJPOZx4RqyOiNyJ6XVkxMzOrr9E63BpNVmF5JXABsEnSz4tWlU3AbxXrzMzMzOouS81/r6SPAB8G7gGeBDwbuCMi8ovazczMrO4asUWk1jRV4ipJ7wReTKVicz1wFrAGeAHwrYh4X3aA5YtObYWMwWZmZo/YuOP2gzqq5OMrXl3z39o3PfC5hhoZkw26vQA4Heig0hV0dETslvQh4CYgrbCYmZlZfbVCy0BWYRmOiBGgX9I9EbEbICIGJLVCC5SZmVnDa4W5hLJBt0OSxiYWOXNsoaQFtEaXmZmZmTWArIXl7IgYBIiI6grKHCrJ48zMzGyGtUILQnaV0ITTrUbEVmBrXUpkZmZmNo5nazYzM2tyrdDC4tmazczMmlzU4VaGpPMk3SXpbkmXTrD+bEk/ljQs6YJx6y6R9Ivilg4zcYXFzMzMpk1SG/AJKvnaTgFeJemUcWH3A68B/nXctouBdwLPpJLj7Z2SFk11PFdYzMzMmtyoan8r4Szg7ohYHxFDwBeA86sDIuLeiPgpj++1ehFwfURsj4gdVJLTnjfVwVxhMTMzs8eRtErSuqrbqnEhy4EHqh5vKJaVMe1tPejWzMysydVj0G1ErAZW12HXB2TKFhZJbZJ+X9J7JT1n3Lq317doZmZm1sA2AiuqHh9dLKvLtlmX0OXAOcA24O+KmZvH/NZkG1U3I+0d3JEcwszMzJ6IGbpKaC1wkqTjJLUDrwSuLVnkbwEvlLSoGGz7wmLZpLIKy1kRcVFEfIzKSN4eSV+W1AFMOiQnIlZHRG9E9HZ3TDno18zMzJ6gUaLmt0xEDANvolLRuBP4YkTcLuk9kl4GIOkZkjYAFwKXS7q92HY78F4qlZ61wHuKZZPKxrC0jyvYKknvBL4D9KTPxszMzA5ZEXEdcN24Ze+our+WSnfPRNteAVxR9lhZC8s6SY+5zCgi3g1cCawsexAzMzOrn9E63BrNlBWWiHg1sF3SMwAknSLpT4EHI2LOwSigmZmZ2ZRdQkX3z4uB2ZKupzKO5bvApZLOiIj3HYQympmZ2RTKptJvZtkYlguA04EOYBNwdETslvQh4CbAFRYzM7MZ1ohdOLWWjWEZjoiRiOgH7omI3QARMUBrnB8zMzNrAFkLy5CkrqLCcubYQkkLcIXFzMysIZSc+6epZRWWsyNiECAiqisoc4B0KmgzMzOzWpiywjJWWZlg+VZga11KZGZmZtNSJtFbs/Pkh2ZmZk3u0K+u5INuzczMzGZc3VtYRiOv9+3Y15fGPGfpk9KYm7b/Io2ZpdqMTCrzvLrndNTkWAC7BvvTmNMXH5/G3Lrz3jSmc3Z7GrNveH8a096Wv73aZuV15p7Zc9MYgIf25hNtrph3WBrzwJ4taUypczSSn6My75GB4aE05n8seXIac8OW29MYgBMWHJnG3LProTSmY3aeW3JoZDiNmTOrrSb7eeMRv5rG/NPDN6UxLzvs9DQG4CtbfpLGzK7Rc4sS30dlPmu/edjT05hrt96cxvzsacemMU+5dUMaAyWff4n2heHRkTSmzOtxwvz88zETWuEqGLewmJmZWcPzGBYzM7Mm50G3ZmZm1vAO/erKAXQJSfp5PQpiZmZmNpls8sM9PFpxGxut2jW2PCLmT7LdKmAVwPzOI+hqX1Sj4pqZmdl4HnQLVwLXACdFxLyImAfcX9yfsLICEBGrI6I3InpdWTEzM7MnKst0+xZJZwKfl3QN8HFao6vMzMysabTCoNt0DEtE/Ah4fvHwBqBcUgwzMzOzGkmvEpJ0FpXxKn8n6SfAcyX9RkRcV+YAZRL6nLjgqDTmxzvXpzGdc/JkXv37J5we6TGWzJ2XxgyWSAq2t8SxABZ0dKUxT118XBpzz948mdcpC49JY27dfm8ac2R33tW3c3BvGlMmKdT+tjzhE8BTFuXJqu7rfziN+c1lJZJnbcmTZ81v70xjdg8NpDFlktTd1nd/GnPc/CPSGIDNA3kCvtMWr0xjftm3KY3pmZP//bO9RGLJeR35ub5mz51pTJnvkK9tvSWNAegqkRSwoy1Prjcymo9O6B/Ov2vKJHLcMpq/H8skBDzp5l+mMWWSbwIs6cy/j/eX+B4p9V1TIrncc+auSGNmwqHfvpIPun0n8GJgtqTrgbOANcClks6IiPfVv4hmZmY2lVYYdJtVuS8ATgc6gE3A0RGxW9KHgJsAV1jMzMys7rIKy3BEjAD9ku6JiN0AETEgqRUqdGZmZg2vzPCLZpcNuh2SNDbA4syxhZIW0BotUGZmZtYAshaWsyNiECAiqisoc4BL6lYqMzMzK60VWhCyPCwTDj2PiK3A1rqUyMzMzKbFeVjMzMzMGoBnazYzM2tyh377ykGosOiRORMnNzSaJ/QpkxjpV3qOTmO2t+1JYwZGhtKYKJH0qLtE4iiAkch7HzcP5sm8+ob2pTHb5uTPv0yisjKvR5nnVeZYe0s8L4Dts/IEY4PDecK/7+66K42ZPastjVnQ3pPG7CuRgHBZZ56k7/6+PCHewhLlARgYzt//9+7dnMaUScJ1ROfiNKZMksYnl/jsr91+dxqzeG5+jvaM5MnVANqUN2CXSQp3dPfSNOahge1pzG8sekoa82+b1qYxPe15sr/hEq/9nFnlfn7KJIU7a8GJacwtffelMb87/7Q05mMP35jGAPxDqSibDrewmJmZNblWGMPiCouZmVmTa4WrhDzo1szMzBrelBUWSW+StLS4f6Kk70naKekmSXlnn5mZmdVd1OFfo8laWN5Y5FwBuAz4aEQsBN4K/ONkG0laJWmdpHX9Q/lgUTMzM7OpZBWW6jEuh0fEvwNExBpg0jm/I2J1RPRGRG9Xe36Fg5mZmR240TrcGk1WYblK0mckHQ/8u6Q/lnSspNcC9x+E8pmZmZmlqfnfJuk1wOeBE4AOYBVwDfC/6l46MzMzSzXimJNaU5YATdJZQETEWkmnAucBd0bEdWUOsHzRqYf+WTQzM6uyccftedbUGrpk5W/X/Lf2n++9+qA+h8yULSyS3gm8GJgt6XrgLGANcKmkMyLiffUvopmZmbW6LHHcBcDpVLqCNgFHR8RuSR8CbgJcYTEzM5thoyWmi2l22aDb4YgYiYh+4J6I2A0QEQM05iBiMzMzOwRlLSxDkrqKCsuZYwslLcAVFjMzs4Zw6Lev5BWWsyNiECDiMVPvzgEuqVupzMzMrLSWn/xwrLIywfKtwNaJ1pmZmZnVmmdrNjMza3KtkIfFszWbmZlZw3MLi5mZWZNrhatgXGExMzNrcq0w6NZdQmZmZtbwpqywSDpe0hWS/lpSj6R/knSbpC9JWnlwimhmZmZTiTr8azRZC8tngLVAH/AD4GdU5hb6JnBFXUtmZmZmVsgqLPMi4h8i4gPA/Ij4cEQ8EBGfBhZNtpGkVZLWSVq3d3BHTQtsZmZmjzVah1ujySoso5JOlnQW0CWpF0DSiUDbZBtFxOqI6I2I3u6OSes1ZmZmZqVkVwn9BfBVKpWtlwN/KempwALgDXUum5mZmZUQLTBbc5aa/9uSLgZGI2KtpB1UxrDcERHXHZQSmpmZ2ZRa4bLmKSsskt5JpYIyW9L1wFnAGuBSSWdExPvqX0QzMzNrdVmX0AXA6UAHsAk4OiJ2S/oQcBPgCouZmdkMa8RBsrWWDbodjoiRiOgH7omI3QARMUBrnB8zMzNrAFkLy5CkrqLCcubYQkkLcIXFzMysITRiordayyosZ0fEIEBEVFdQ5gCX1K1UZmZmVlrLD7odq6xMsHwrsLUuJTIzMzMbx7M1m5mZNblWyMPi2ZrNzMys4bmFxczMrMm1wlUwrrCYmZk1uVa4SshdQmZmZnZAJJ0n6S5Jd0u6dIL1HZL+rVh/k6SVxfKVkgYk3Vzc/jE7lltYzMzMmtxMXNYsqQ34BPACYAOwVtK1EXFHVdjrgB0RcaKkVwIfBF5RrLsnIk4ve7wpW1gkzZb0+5K+Kemnxe0bkv5A0pxpPTMzMzM7lJwF3B0R6yNiCPgCcP64mPOBfy7uXwU8T5IO5GBZC8tngZ3Au6jUngCOppI07nM8Wkt6DEmrgFUACzqPpLtj0YGUzczMzEqYocualwMPVD3eADxzspiIGJa0C1hSrDtO0k+A3cDbI+I/pzpYVmE5MyJOHrdsA/ADST+fbKOIWA2sBli+6NRDfySQmZnZIaa68aGwuvh9r4WHgGMiYpukM4FrJJ06NmfhRLIKy3ZJFwJXj6XmlzQLuBDYUaNCm5mZ2RNQjzEs1Y0Pk9gIrKh6fHSxbKKYDZJmAwuAbVFpEhqb+udHku4BTgbWTXaw7CqhVwIXAJsl/VzSL4BNwG8V68zMzGyGRR3+lbAWOEnScZLaqdQLrh0Xcy2Pzj14AfCdiAhJhxWDdpF0PHASsH6qg2VzCd1LMU5F0lif02UR8eoyzwTgqM4lacyt2+9NYxbN7Uljtu/bU5P9DA7vT2OOm3dEGnPnzgfSGIBnLRnf6/Z4a7ffncb0tM9NY3YN9tdkP2UsbM/P9QN7tqQxrzriGaWOd/WWn6QxHbPzseJ9Q/vSmMO7FqQxe4YG0piFHfk52tiXT9v1wsOflsb8YNcv0hiAWeTj4faN5J+RhR3daUyZc9Tell/MuHPf3jTmtMUr05i7dz+YxpQ1NDqcxizrysf3be7PG7NXzluWxqzfvSmNeXGJ99Ga7XemMSORpzHbNzyUxgAcVuKzVub1L3OONu7NP2svX5qfo1ZRjEl5E/AtoA24IiJul/QeYF1EXAt8GvispLuB7Tza2HE28B5J+6nkvfuDiNg+1fGm/CaQNL6mBPDrY8sj4mXTeG5mZmZWB6MzNJdQRFwHXDdu2Tuq7u+jMoxk/HZXA1dP51jZny5HA3cAnwICEPAM4MPTOYiZmZnZE5GNYekFfgS8DdgVEWuAgYi4ISJuqHfhzMzMLBd1uDWabAzLKPBRSV8q/t+cbWNmZmYH10xkuj3YSlU+ImIDcKGkl1BJ8GJmZmZ20EyrtSQivg58vU5lMTMzswPQCi0snq3ZzMzMGp7Ho5iZmTW5GZpL6KCqe4Xl/r0PpzFlMuod2bk4jdk9lCdFK5MUrEzSo7t2bUhjOme3pzEAt+6+L43ZXyIJVZlEbWUSxw2N5Mcqk1xvZDQ/j2XO0f/b9bM0BsolouqekyfFK/PB37GvL40ZLJFcrW1W3sg5S3nMQOTH2lUiuRbA8p482ePOwXxf20q8/mXe18OjebK/Mt8hz21fnsbcOnxvGvPGI341jQH4h003pjHb9uVDAveX+Dzes+uhUmWqhTLv6x13XJXGLD31d0odb3eJ76wy76Of78y/s8t81tbsyZN4zgR3CZmZmZk1AHcJmZmZNbmSc/80NbewmJmZWcObssIiqU3S70t6r6TnjFv39voWzczMzMqIiJrfGk3WwnI5cA6wDfg7SR+pWvdbk20kaZWkdZLWDQztrEExzczMrJVlFZazIuKiiPgY8EygR9KXJXXA5HPQR8TqiOiNiN7O9oW1LK+ZmZmNM0rU/NZosgrLI9ecRsRwRKwCbgG+A+TX0JqZmVnduUsI1kk6r3pBRLwbuBJYWa9CmZmZmVXTdGtRkv4lIi4uG3/EwienB+hoyxNDlUlmViZxnCbvyXpET3ueXKxrdh7zcH+58TsL53anMZ1tHWnMwMhgGlPm9S6TFGxhR17mMgn4BkokeytzrLLHK5PMbkXXYWnMz3Y9kMZ0zclfsz1DA2lMmecv5e/rsp/1Mq/Jss5FaczOoTy53twSn/2H9u7Iy9Oddz3PVp7FYeu+XWlM2fPYViIJ2aK589KYkRhJYx7uz8t9RFd+jp7Vc1wa863tt6cxZZLLlfksAhzZnb/X9pU4XpnvtTLf/R/tfkYaA/DqBz+Xfyhr6GlH/GrNm0Ru2XTjQX0OmSk/wZKuHb8IeK6khQAR8bJ6FczMzMxsTPYnxwrgduBTQFCpsPQCH65zuczMzKwkJ46DM4EfAW8DdkXEGmAgIm6IiBvqXTgzMzPLjUbU/NZopmxhiYhR4KOSvlT8vznbxszMzKzWSlU+ImIDcKGklwD59KJmZmZ20LRCl9C0Wksi4uvA1+tUFjMzM7MJuXvHzMysyTXimJNac4XFzMysyblLqAYGh/OEPvPn5ImxNu/Nk7CVScBWJrlYmTKX2U93icRhAHuH9qUxHXPb05htA3vSmDKJkWbPaktjyiQXK5Psb157ZxqzezBPCAhwRNfiNOb+vofTmLtHHkxjypyjw+fmibr6Srz23bPzc7R5IE+udmzP4WkMwC/25c9/U//2NKbMXCSnzluRxjw8kCdFWzwnT8C2vm9TGlPm/bilRJI2KJcQc+dgnlzvt5Y8LY35/MC6NGbF3KVpzFe33JLGtLflPxv7S3z220p8hgD27M+TK/5b5xlpzIUjP05jzpifJ877cYYangAADyhJREFU/3b8dxoD8OpSUTYdbmExMzNrcq3QJZTnjjYzMzObYW5hMTMza3KtMIZl2i0skn5ej4KYmZmZTSab/HAPPFJtG5u1sWtseUTMn2S7VcAqgM72w+iYM2GYmZmZ1YDHsMCVwDXASRExLyLmAfcX9yethUTE/9/e/QfLVdZ3HH9/CElIICQhAQSCEH7ZQq0oF6wz6iB0WgQG2hmY0im2KkymWKRgWwvNDFanTPlRirYWGQSEIo0FHJxoEKG2BB0LkiChN/wMECVAQWgICYSEkG//eJ7IZufuPuec3XvZ3HxemZ179uxzPvucb/bH2fPz6ogYioghL6yYmZmNrhiFf4Om6wJLRJwDfAVYIOkcSTvAAM6FmZmZjWvFfVgiYinw2/nuYqB8Ig8zMzMbMxGb+34bNIoa270k7QUMR8SsqtPsM/Mwr5ExM7PtyrOrl6vcqn/mznpf379rn3552ZjOQ0lpp9uFI4yevGV8RJw0Kr0yMzOzyqqcWXpbVzoPyxzgYeAa0r4rAo4ELh/lfpmZmVlFdbaWbKtK+7AMAUuB+cCaiLgbWB8RiyNi8Wh3zszMzAwKa1gi7XVzhaRb8t8XStOYmZnZ2PImoSwiVgGnSjoBeHV0u2RmZma2tVprSyJiEbBolPpiZmZmDWwP+7B4846Zmdk2zqfmNzMzMxsAXsNiZma2jRvEa//0m9ewmJmZ2cDzGhYzM7Nt3Paw063XsJiZmdnA67rAIulsSbPz8EGS7pH0iqT7JL13bLpoZmZm3Wwm+n4bNKU1LGdFxEt5+CvAFRExA/hr4KpOE0maJ2mJpCWvbVjdp66amZnZSCKi77dBU1pgad3HZY+IuA0gX1NoWqeJIuLqiBiKiKGdJ8/svZdmZma2XSstsNwq6XpJBwC3STpX0n6SPgX8Ygz6Z2ZmZgWbI/p+GzSlix/OzwsnC4ADgcnAPOA7wB+NfvfMzMzMQHW3U0m6MSI+UbX99F0OLD7BW5s3F3MO3HWvYpsVrz5XbDN7yq7FNhvf2lRs8/qmDcU20yZNKbYBeHXD68U2VZZ295+2Z7HNyrUvFNvsXqFG6za9UWxTxeQJE4ttXl6/tlLWpAnlo/Rn7VSet5fWrym22X3KjGKbNRvXFdtMm1h+jax9c32xzbqN5f+PCTtUOyjwsBn7Fds8te75Ypt377xHsc1z618utpk9eXqxzTOv/bLYZsOmN4ttJBXbnL7nUcU2AN99ZbjYZs+dypvMX9pQfj2+FeXP0CqvkX6dfOyu6UcU25y47qFKWXtPnVVsU6VGazeW30dVvouqvEYA1q//ebWGfTJzl4P6vkpk9boVYzoPJV0/4SUtHGH0MVvGR8RJo9IrMzMzq2wQj+rpt9JP0jnAw8A1QAACjgQuH+V+mZmZmf1KaR3xELAUmA+syUcHrY+IxRGxeLQ7Z2ZmZmXbw2HNpZ1uNwNXSLol/32hNI2ZmZlZv1Va+IiIVcCpkk4AXh3dLpmZmVkdg3gYcr/VWlsSEYuARaPUFzMzM2ugX0d4DTJf/NDMzMwGXu3zsNS1z8zDxv9in5mZWYtnVy8f03OYTJmyX9+/a8f6XDIlXsNiZmZmA89H/JiZmW3jBvEw5H7zGhYzMzMbeF0XWCQdIOk6SX8naRdJX5c0LOkWSfuPTRfNzMysmxiFf4OmtIbleuB+YB1wL/Ao8HHgDuC6ThNJmidpiaQlr21Y3aeumpmZ2Ui2hzPdlhZYpkXE1yLiYmDXiLg8Ip6JiGuBjpcZjYirI2IoIoZ2nly+GqmZmZlteyQdJ+kxSSsknT/C45Ml/Xt+/L7WrTOSLsjjH5P0u6XnKi2wbJZ0iKQjgamShvKTHARMqDVXZmZmNireiTUskiYA/0La8nIo8IeSDm1rdgawOiIOAq4ALsnTHgqcBhwGHAdcmfM6Ki2wfB74LvCvwO8BF0h6AvgJcGFxbszMzGy8OgpYERFPRcRG4FvAyW1tTgZuyMO3AsdKUh7/rYjYEBFPAytyXkelix/+EHhPy6gfS/oecFK+MKKZmZm9w96hPU72AZ5pub8K+GCnNhGxSdIaYFYef2/btPt0fbbC6qCFI9zWbRnuYTXTvD6trhqXOYPYp0HLGcQ+jdecQezToOUMYp/Ga84g9qmf8zZIN2AesKTlNq/t8VOAa1rufwL4alubYWBOy/0ngdnAV4HTW8ZfC5zSrT+lTUL7kq7O/I/A5fnv2jx8eWHabub1MO32kNPPrPGa088s54xd1njN6WeWc8Yua9ByBkq0HECTb1e3NXmWtJywxZw8bsQ2knYEpgMvV5x2K6UFliOApcB8YE1E3A2sj4jFEbG4MK2ZmZmNX/cDB0uaK2kSaSfahW1tFgJ/kodPAf4z0iqVhcBp+SiiucDBwE+7PVlpH5bNwBWSbsl/XyhNY2ZmZuNfpH1SzgZ+QDpy+LqIWC7pS8CSiFhI2tRzo6QVwP+RFmrI7W4GHgY2AX8WEW91e75KCx8RsQo4VdIJpE1EvWpfreSc0csarzn9zHLO2GWN15x+Zjln7LIGLWebExG3A7e3jbuwZfgN4NQO014EXFT1uZR3djEzMzMbWL74oZmZmQ28MV1gKZ3Ct0bOvpL+S9LDkpZL+vMe+zVB0s/yOWaaZsyQdKukRyU9IulDDXPOy/M0LGmBpJ1qTHudpBclDbeM203SXZKeyH+L10rokHNZnreHJN0maUaTnJbH/kJSSJrdNEfSZ3Oflku6tJTTZd4Ol3SvpAfzNbC6nryo0+uvYa07ZdWqd+k9UbXe3XLq1LvLfNWqdZ5mJ0k/lbQsZ30xj5+rdKrvFUqn/p7UMOem/Lk0nF8fE5vktDz+T5LW9TBfknSRpMeVPkvOaZhzrKQHcq1/rHSG8iK1fR7WrXMhq1atO+W0jK9U6y79qVXrLjmNam01jeHx3BNIx18fAEwClgGHNszaC/hAHp4GPN40K2d8Dvg34Hs9ZNwAnJmHJwEzGmTsAzwNTMn3bwY+WWP6jwIfAIZbxl0KnJ+HzwcuaZjzO8COefiSpjl5/L6knbR+Dsxu2J+PAf8BTM739+ihRncCH8/DxwN3N3n9Nax1p6xa9e72nqhT7y79qVXvLjm1ap3bCdglD08E7gN+K78/TsvjrwLOaphzfH5MwIKmOfn+EHAjsK6H+foU6eziO1Ssdaecx4Ffz+M/A1xf8T2y1edh3ToXsmrVulNO3Vp36U+tWnfJaVRr3+rdxnINS5VT+FYSEc9HxAN5eC3wCKUz5HUgaQ5wAnBNk+lzxnTSF+G1uU8bI+KVhnE7AlOUjlefCjxXdcKIuIe0F3ar1tMi30C6xELtnIi4MyI25bv3ko6Zb9IfSNeT+DwVT87YIecs4OKI2JDbvNhDVgC75uHpFGre5fXXpNYjZtWtd+E9UbneXXJq1btLTq1a5+kjIrb8ip6YbwEcQzrVN1Sod6eciLg9PxakwypLtR4xR+k6KJeRal3UZb7OAr4U+WziFWrdKad2rds/DyWJmnXulJX7WqvWnXLq1rpTDjVr3SWndq2tvrFcYBnpFL6NFjJaKV358f2kXxVNfJn0ou/lUgNzgV8C38irCa+RtHPdkIh4FvgH4BfA86Rz39zZQ78A9oyI5/Pw/wJ79pgH8Gng+00mlHQy8GxELOuxD4cAH8mrqhcrXaCzqXOByyQ9Q6r/BVUnbHv99VTrLq/lWvVuzeml3m39aVzvtpxGtc6r4B8EXgTuIq2tfaVloa7S50l7TkTc1/LYRNKZOu9omHM26Qzgz3efuphzIPAHSpvMvi/p4IY5ZwK3S1qV5+viCl1q/zycRYM6d8hq7W/lWnfIqV3rDjm1a90hp0mtraZteqdbSbsA3wbOjYjah1tLOhF4MSKW9tiVHUmbGb4WEe8HXiNtEqjbn5mkX+lzgb2BnSWd3mPffiX/qunpsDBJ80nHzN/UYNqpwN/Qnwtn7gjsRlr1/VfAzfnXYBNnAedFxL7AeeQ1ZSXdXn91a90pq269W3PydI3qPUJ/GtV7hJxGtY6ItyLicNIv8qOAX6s7TyPlSPqNloevBO6JiB81yPko6dDNf+5DfyYDb0TEEPB14LqGOecBx0fEHOAbpDOVd9THz8MqWZVqPVKOpL2pWesu/alV6y45tWptDcUYbXsCPgT8oOX+BcAFPeRNJG2X/1wPGX9P+sWwkvSL+HXgmw1y3gWsbLn/EWBRg5xTgWtb7v8xcGXNjP3Zev+Mx4C98vBewGNNcvK4TwL/DUxt0h/gvaRfgCvzbRNpbdK7GszXHcDHWu4/CezesEZrePsQfwGvNnn99VDrEV/LdevdntO03h3mrXa9O+TUrvUIuReSFppe4u39fLb6fKmR85d5+AvAd8j7MjTI+QLpM2RLrTeTNoHX7g/wKDC3pUZrGtbnyZZx7wYeLkw30ufhTU3q3CHrm3Vr3SFndd1ad+pP3Vp3yFlUt9a+NbuN3ROlX2hPkdYebNnp9rCGWSLtKPXlPvbvaHrb6fZHwHvy8N8ClzXI+CCwnLTvikjbiz9bM2N/tv4yvoytdwS9tGHOcaQzElZaKOiU0/bYSirsdNuhP39K2vYMaXPFM+QvwgZZjwBH5+FjgaVNXn9Nat0lq1a9q7wnqtS7S39q1btLTq1a53a7k3diB6bk99qJwC1svTPoZxrmnAn8hLyze9P+tLWpstNtp/5cDHw6jz8auL9hzkvAIXn8GcC3q8xfy/Nu2aG0Vp0LWbVq3Smnbq279KdWrUfKIX23Na61bzX+78b0ydIe4o+Tfp3N7yHnw6TV7Q8BD+bb8T32bcQ3Q43pDyddzfIh0q+HmQ1zvkha6h8m7QE/uca0C0j7vrxJ+hVwBmkb9A+BJ0hHeezWMGcF6UtqS72vapLT9vhKqh0lNFJ/JpF+IQ0DDwDH9FCjD5OumbWMtJ/FEU1efw1r3SmrVr2rvCeq1LtLf2rVu0tOrVrnrN8EfpazhoEL8/gDSDturiB9qXZ9r3TJ2UT6TNrSzwub5LS1qbLA0qk/M0i/2v+HtIbtfQ1zfj9nLAPuBg6o8h7J0x7N21/qtepcyKpV6045dWvdpT+1at0lp3Gtfat+85luzczMbOBt0zvdmpmZ2fbBCyxmZmY28LzAYmZmZgPPCyxmZmY28LzAYmZmZgPPCyxmZmY28LzAYmZmZgPPCyxmZmY28P4fhaDb/Jqm4T8AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ew9vekI9Mw8f"
      },
      "source": [
        "## Custom Data\r\n",
        "\r\n",
        "Custom data (xxx.csv) has to include at least 2 features: `date`(format: `YYYY-MM-DD hh:mm:ss`) and `target feature`.\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qqQBJWHeMzP-"
      },
      "source": [
        "from data.data_loader import Dataset_Custom\r\n",
        "from torch.utils.data import DataLoader\r\n",
        "import pandas as pd\r\n",
        "import os"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5bFrfuw6Oxpi"
      },
      "source": [
        "# custom data: xxx.csv\r\n",
        "# data features: ['date', ...(other features), target feature]\r\n",
        "\r\n",
        "# we take ETTh2 as an example\r\n",
        "args.root_path = './ETDataset/ETT-small/'\r\n",
        "args.data_path = 'ETTh2.csv'\r\n",
        "\r\n",
        "df = pd.read_csv(os.path.join(args.root_path, args.data_path))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0--9JC0eO_WT",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "cdda7bd2-d7fe-43f1-8aa6-1bfe23b04778"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>HUFL</th>\n",
              "      <th>HULL</th>\n",
              "      <th>MUFL</th>\n",
              "      <th>MULL</th>\n",
              "      <th>LUFL</th>\n",
              "      <th>LULL</th>\n",
              "      <th>OT</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2016-07-01 00:00:00</td>\n",
              "      <td>41.130001</td>\n",
              "      <td>12.481</td>\n",
              "      <td>36.535999</td>\n",
              "      <td>9.355</td>\n",
              "      <td>4.424</td>\n",
              "      <td>1.311</td>\n",
              "      <td>38.661999</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2016-07-01 01:00:00</td>\n",
              "      <td>37.528000</td>\n",
              "      <td>10.136</td>\n",
              "      <td>33.936001</td>\n",
              "      <td>7.532</td>\n",
              "      <td>4.435</td>\n",
              "      <td>1.215</td>\n",
              "      <td>37.124001</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2016-07-01 02:00:00</td>\n",
              "      <td>37.946999</td>\n",
              "      <td>11.309</td>\n",
              "      <td>35.330002</td>\n",
              "      <td>9.007</td>\n",
              "      <td>2.100</td>\n",
              "      <td>0.000</td>\n",
              "      <td>36.465000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2016-07-01 03:00:00</td>\n",
              "      <td>38.952000</td>\n",
              "      <td>11.895</td>\n",
              "      <td>35.543999</td>\n",
              "      <td>9.436</td>\n",
              "      <td>3.380</td>\n",
              "      <td>1.215</td>\n",
              "      <td>33.608501</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2016-07-01 04:00:00</td>\n",
              "      <td>38.113998</td>\n",
              "      <td>11.476</td>\n",
              "      <td>35.410000</td>\n",
              "      <td>9.623</td>\n",
              "      <td>2.036</td>\n",
              "      <td>0.000</td>\n",
              "      <td>31.850500</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                  date       HUFL    HULL  ...   LUFL   LULL         OT\n",
              "0  2016-07-01 00:00:00  41.130001  12.481  ...  4.424  1.311  38.661999\n",
              "1  2016-07-01 01:00:00  37.528000  10.136  ...  4.435  1.215  37.124001\n",
              "2  2016-07-01 02:00:00  37.946999  11.309  ...  2.100  0.000  36.465000\n",
              "3  2016-07-01 03:00:00  38.952000  11.895  ...  3.380  1.215  33.608501\n",
              "4  2016-07-01 04:00:00  38.113998  11.476  ...  2.036  0.000  31.850500\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QmvRipRbPAbP"
      },
      "source": [
        "'''\r\n",
        "We set 'HULL' as target instead of 'OT'\r\n",
        "\r\n",
        "The following frequencies are supported:\r\n",
        "        Y   - yearly\r\n",
        "            alias: A\r\n",
        "        M   - monthly\r\n",
        "        W   - weekly\r\n",
        "        D   - daily\r\n",
        "        B   - business days\r\n",
        "        H   - hourly\r\n",
        "        T   - minutely\r\n",
        "            alias: min\r\n",
        "'''\r\n",
        "\r\n",
        "args.target = 'HULL'\r\n",
        "args.freq = 'h'\r\n",
        "\r\n",
        "Data = Dataset_Custom\r\n",
        "timeenc = 0 if args.embed!='timeF' else 1\r\n",
        "flag = 'test'; shuffle_flag = False; drop_last = True; batch_size = 1\r\n",
        "\r\n",
        "data_set = Data(\r\n",
        "    root_path=args.root_path,\r\n",
        "    data_path=args.data_path,\r\n",
        "    flag=flag,\r\n",
        "    size=[args.seq_len, args.label_len, args.pred_len],\r\n",
        "    features=args.features,\r\n",
        "    timeenc=timeenc,\r\n",
        "    target=args.target, # HULL here\r\n",
        "    freq=args.freq # 'h': hourly, 't':minutely\r\n",
        ")\r\n",
        "data_loader = DataLoader(\r\n",
        "    data_set,\r\n",
        "    batch_size=batch_size,\r\n",
        "    shuffle=shuffle_flag,\r\n",
        "    num_workers=args.num_workers,\r\n",
        "    drop_last=drop_last)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IkNDT2jMPCUf"
      },
      "source": [
        "batch_x,batch_y,batch_x_mark,batch_y_mark = data_set[0]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jjYBAC7sPKco",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9e37b19a-8c95-457e-cbdd-4e07d1410836"
      },
      "source": [
        "batch_x, batch_x_mark"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "        [-0.41304348,  0.        , -0.5       , -0.41506849],\n",
              "        [-0.36956522,  0.        , -0.5       , -0.41506849],\n",
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              "        [-0.19565217,  0.        , -0.5       , -0.41506849],\n",
              "        [-0.15217391,  0.        , -0.5       , -0.41506849],\n",
              "        [-0.10869565,  0.        , -0.5       , -0.41506849],\n",
              "        [-0.06521739,  0.        , -0.5       , -0.41506849],\n",
              "        [-0.02173913,  0.        , -0.5       , -0.41506849],\n",
              "        [ 0.02173913,  0.        , -0.5       , -0.41506849],\n",
              "        [ 0.06521739,  0.        , -0.5       , -0.41506849],\n",
              "        [ 0.10869565,  0.        , -0.5       , -0.41506849],\n",
              "        [ 0.15217391,  0.        , -0.5       , -0.41506849]]))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VUcvSLlkSFTx"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}